Tham khảo tài liệu 'socially intel. agents creating rels. with comp. & robots - dautenhahn et al (eds) part 6', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 84 Socially Intelligent Agents 5. The top 14 features are F0 maximum F0 standard deviation F0 range F0 mean BW1 mean BW2 mean energy standard deviation speaking rate F0 slope F1 maximum energy maximum energy range F2 range and F1 range. 6. The first set included the top 8 features from F0 maximum to speaking rate the second extended the first by the next 2 features F0 slope and F1 maximum and the third included all 14 top features. 7. An ensemble consists of an odd number of neural network classifiers trained on different subsets. The ensemble makes a decision based on the majority voting principle. 8. To train the experts we used a two-layer backpropagation neural network architecture with a 8-element input vector 10 or 20 nodes in the hidden sigmoid layer and one node in the output linear layer. We also used the same subsets of the 70 data set as training and test sets but with only two classes for example angry - non-angry . 9. To explore this approach we used a two-layer backpropagation neural network architecture with a 5-element input vector 10 or 20 nodes in the hidden sigmoid layer and five nodes in the output linear layer. We selected five of the best experts and generated several dozens neural network recognizers. 10. We created ensembles of 15 neural network recognizers for the 8- 10- and 14-feature inputs and the 10- and 20-node architectures. The average accuracy of the ensembles of recognizers lies in the range 73-77 and achieves its maximum 77 for the 8-feature input and 10-node architecture. References 1 R. Banse and . Scherer. Acoustic profiles in vocal emotion expression. Journal of Personality and Social Psychology 70 614-636 1996. 2 R. van Bezooijen. The characteristics and recognizability of vocal expression of emotions. Foris Drodrecht The Netherlands 1984. 3 . Cahn. Generation of Affect in Synthesized Speech. In Proc. 1989 Conference of the American Voice I O Society pages 251-256. Newport Beach CA September 11-13 1989. 4 C. Darwin. The
